GENE Token GENE

Peer to Peer Parking on Blockchain
An Airbnb like - way to find parking in big cities
We are disrupting the global Parking industry, a $100 Billion market, to provide drivers with a better parking experience, while helping cities become smarter.

Links

Team

Louis Hatzis

CEO

Internet entrepreneur envolved in a series of succesful Consumer Internet and AdTech startups. He has also worked for Google and JWT.
Passionate about cryptocurrencies, he is working with blockchain startups to advance the use of the technology and writes weekly in Dailyfintech.com about Bitcoin, Blockchain and Crypto.

Nikolas Skarlatos

CFO

Experienced market participant with a demonstrated history of working in the investment management industry with a proven track record.
Extensive skill set includes multi asset portfolio management, fund selection, equity valuation, as well as derivative pricing and market making.

John Zarifis

CTO

15 years experience as senior software engineer, software architect, team supervisor.
3+ years experience as Software Research and Development Director in multinational software companies.

Tasos Flambouras

Chief of Digital Marketing

Tasos has over 20 years of digital strategy and interactive entertainment experience with a career spanning commercial, production, operations, and product senior management roles. He’s an entrepreneur and a gaming industry pioneer in Greece having shipped many successful products to the global market.

Giannis Ramfos

COO

An accomplished, results-driven Executive Director with over 20 years of demonstrated success directing business and technology operations towards profitability and productivity.

Distribution

PARKGENE Future Fund

400,000,000 GENE

40.00%

Token Sale Hard-Cap

350,000,000 GENE

35.00%

Advisors & Team

100,000,000 GENE

10.00%

Founders

10,000,000 GENE

10.00%

Bounty

50,000,000 GENE

5.00%

Milestones

None specified

Questions and Answers

None specified

8 of 27 Team Members Verified

Company Verified

KYC Interview Conducted

93%

Profile Quality

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manipulation.

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data points offered by the projects such as social media profiles, white paper,
questions and answers and many more to calculate the TrustScore.